Search results for " optimization."

showing 10 items of 2333 documents

Improving distance based image retrieval using non-dominated sorting genetic algorithm

2015

Image retrieval is formulated as a multiobjective optimization problem.A multiobjective genetic algorithm is hybridized with distance based search.A parameter balances exploration (genetic search) or exploitation (nearest neighbors).Extensive comparative experimentation illustrate and assess the proposed methodology. Relevance feedback has been adopted as a standard in Content Based Image Retrieval (CBIR). One major difficulty that algorithms have to face is to achieve and adequate balance between the exploitation of already known areas of interest and the exploration of the feature space to find other relevant areas. In this paper, we evaluate different ways to combine two existing relevan…

business.industryComputer scienceFeature vectorSortingRelevance feedbackContext (language use)Machine learningcomputer.software_genreContent-based image retrievalMulti-objective optimizationArtificial IntelligenceSignal ProcessingGenetic algorithmComputer Vision and Pattern RecognitionData miningArtificial intelligencebusinessImage retrievalcomputerSoftwarePattern Recognition Letters
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Methods for optimal shape design of electrical devices

1996

Often the primary problem facing designers of structural systems is determining the shape of the structure. In spite of graphical work stations and modern software for analyzing the structure, finding the best geometry for the structure by “trial and error” is still a very tedious and timeconsuming task. The goal in optimal shape design (structural optimization, or redesign) is to computerize the design process and therefore shorten the time it takes to design new products or improve the existing design. Structural optimization is already used in many applications in industry. In general, however, structural optimization is just beginning to penetrate the industrial community. Integrating F…

business.industryComputer scienceStructural systemTopology optimizationCADTrial and errorcomputer.software_genreIndustrial engineeringSoftwareComputer Aided DesignbusinessEngineering design processcomputerSequential quadratic programming
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Topology Optimization Design of Internal Reinforcements in a Sailing Dinghy

2021

AbstractIn this paper, a novel approach has been followed based on FEM simulation and Topology Optimization tools to locate and model the reinforcements inside the hull of a sailing dinghy. This process assumes that the inner volume included between the hull and the deck is, at the beginning of the simulation, filled with material; then a portion of this inner volume is eroded until a final free form shape of the reinforcements is obtained. A key point of this procedure is the definition of the optimization constrains because the final shape of the reinforcements must fulfill several requirements such as weight, stiffness and stress. At the end of the optimization procedure, the final shape…

business.industryComputer scienceTopology optimizationProcess (computing)StiffnessStructural engineeringFinite element methodDeckStress (mechanics)Hullmedicinemedicine.symptombusinessVolume (compression)
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Damage identification by Lévy ant colony optimization

2010

This paper deals with the identification of incipient damage in structural elements by non-destructive test based on experimentally measured structural dynamical response. By applycation of the Hilbert transform to the recorded signal the so-called phase of the analytical signal is recovered and a proper functional is constructed in such a way that its global minimum gives a measure of the damage level, meant as stiffness reduction. Minimization is achieved by applying a modified Ant Colony Optimization (ACO) for continuous variables, inspired by the ants’ forageing behavior. The modification consists in the application of a new perturbation operator, based on alpha stable Lévy distribution…

business.industryComputer sciencedamage identification optimization levy acorAnt colony optimization algorithmsIdentification (biology)Pattern recognitionArtificial intelligenceSettore ICAR/08 - Scienza Delle Costruzionibusiness
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On the Use of Preferential Weights in Interactive Reference Point Based Methods

2009

We introduce a new way of utilizing preference information specified by the decision maker in interactive reference point based methods. A reference point consists of aspiration levels for each objective function. We take the desires of the decision maker into account more closely when projecting the reference point to become nondominated. In this way we can support the decision maker in finding the most satisfactory solutions faster. In practice, we adjust the weights in the achievement scalarizing function that projects the reference point. We demonstrate our idea with an example and we summarize results of computational tests that support the efficiency of the idea proposed.

business.industryComputer sciencemedia_common.quotation_subjectMultiobjective programmingInformation and Computer ScienceArtificial intelligencebusinessFunction (engineering)Decision makerMulti-objective optimizationPreferencemedia_common
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Optimization of process variables on physicochemical properties of milk during an innovative refractance window concentration

2020

business.industryEmerging technologiesComputer scienceGeneral Chemical EngineeringProcess (computing)Window (computing)Process optimizationGeneral ChemistryProcess engineeringbusinessFood ScienceEfficient energy useJournal of Food Processing and Preservation
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PROCESS AND PRODUCT OPTIMIZATION IN THE ARTISANAL PRODUCTION OF SICILIAN COFFE GELATO

2020

The production of artisan gelato has always been a very important sector for the Italian economy, the aim of this work is to highlight the peculiarity of production in Sicily, in synergy with a young economic reality and the production reality that is expanding Gelateria Cappadonia, Caffè Morettino Srl Palermo and the academic world. The aim of this research is to solve the color change during the production of artisan coffee gelato.

business.industryProcess (engineering)Product optimizationlanguageProduction (economics)Settore AGR/15 - Scienze E Tecnologie AlimentariBusinessProcess engineeringSicilianlanguage.human_languageArtisan gelato Coffee Gelato Granita Sorbetto.Food ScienceCarpathian Journal of Food Science and Technology
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Economic Robustness Analysis of Adaptive Chart Schemes for Monitoring the Total Nonconformities Number in Inspection Units

2015

In recent years, a variety of enhanced schemes for the c chart have been developed aimed at the effectiveness improving of the related statistical process control (SPC) procedures. However, the performance of such chart schemes can be very sensitive to values assumed for some operating and cost parameters, in particular to the considered process shift magnitude arising from out-of-control conditions. In such a circumstance, the effectiveness of such chart schemes can be subjected to substantial reductions when they are implemented in operative contexts given that, in practice, such value is unknown and it can be very difficult to accurately estimate. For this reason, in the present paper i…

c-chartEconomic optimizationEngineeringGeneral Computer Sciencebusiness.industrylabor resource costtaguchi’s loss functionnon-linear mathematical programming modelEnergy Engineering and Power TechnologyAerospace EngineeringFractional factorial designFailure rateStatistical process controlIndustrial and Manufacturing EngineeringReliability engineeringAdaptive chart for attributeNuclear Energy and EngineeringChartRobustness (computer science)Performance comparisonElectrical and Electronic Engineeringeconomic robustness analysiSafety Risk Reliability and QualitybusinessSettore ING-IND/16 - Tecnologie E Sistemi Di LavorazioneInternational Journal of Reliability, Quality and Safety Engineering
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A Multi-Objective Design Approach for the c Chart Considering Taguchi Loss Function

2013

The present paper proposes a multi-objective design approach for the c chart, considering in the optimization process of the chart parameters both the statistical and the economic objectives. In particular, the minimization of the hourly total quality related costs is the considered objective to carry out the economic goal, whereas the statistical objective is reached by the minimization the out-of-control average run length of the chart. A mixed integer non-linear constrained mathematical model is formulated to solve the treated multi-objective optimization problem, whereas the Pareto optimal frontier is described by the e-constraint method. In order to show the employment of the proposed …

c-chartEngineeringMathematical optimizationOptimization problemOperations researchbusiness.industryManagement Science and Operations ResearchStatistical process controlChartTaguchi loss functionSensitivity (control systems)MinificationSafety Risk Reliability and QualitybusinessInteger (computer science)Quality and Reliability Engineering International
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Comparing the Economic Effectiveness of Various Adaptive Schemes for the c Chart

2013

In an attempt to improve the effectiveness of statistical process control (SPC) procedures, a variety of adaptive schemes has been developed in the last decades. However, considering control charts for attributes, relatively few works about adaptive schemes have been proposed, and most of them were proposed only recently. The common characteristic of those schemes is that one or more chart parameters are allowed to adaptively vary during the SPC operations according to the sampling information history, typically the current point plotted on the chart. In this way, the adaptive schemes are smarter than the related static ones, but they are also more complicated in terms of implementation. Th…

c-chartMathematical optimizationAdaptive samplingChartComputer scienceFractional factorial designSampling (statistics)Control chartManagement Science and Operations ResearchSafety Risk Reliability and QualityStatistical process controlShewhart individuals control chartReliability engineeringQuality and Reliability Engineering International
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